AI Engineer — AMK

Job Responsibilities Design and develop AI/ML models using Python, TensorFlow, PyTorch, or similar frameworks. Work with structured and unstructured data to build intelligent systems. Develop and implement models for NLP, computer vision, time-series forecasting, anomaly detection, and reinforcement learning. Optimize and deploy AI models into production environments using technologies such as FastAPI, Flask, Docker, and Kubernetes. Collaborate with product and engineering teams to integrate AI modules into applications and platforms. Conduct experiments, evaluate model performance, and improve models using statistical methods. Research and implement state-of-the-art AI algorithms and stay updated with the latest advancements in artificial intelligence. Ensure ethical, explainable, and responsible AI development. Develop AI solutions for robotics applications, including robotic perception, motion planning, autonomous systems, robot control, sensor fusion, and computer vision. Work with robotics technologies such as ROS/ROS2, SLAM, LiDAR/camera sensors, autonomous navigation, robotic simulation, and deployment of AI models into robotic systems. Job Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 2 years of experience in machine learning, artificial intelligence, or related development work. Strong proficiency in Python and machine learning libraries such as scikit-learn, NumPy, and pandas. Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of model deployment and serving technologies, including Docker, REST APIs, and ONNX. Strong understanding of data preprocessing, feature engineering, and model evaluation metrics. Experience in robotics-related AI applications such as robotic perception, motion planning, autonomous systems, robot control, sensor fusion, or computer vision for robotics. Hands-on experience with ROS/ROS2, SLAM, LiDAR/camera sensors, autonomous navigation, robotic simulation, or deployment of AI models into robotic systems.